DETEKSI MALWARE RANSOMWARE PADA PLATFORM ANDROID MENGGUNAKAN METODE RANDOM FOREST

FEBRIANSYAH, RAHMAT and Heryanto, Ahmad (2021) DETEKSI MALWARE RANSOMWARE PADA PLATFORM ANDROID MENGGUNAKAN METODE RANDOM FOREST. Undergraduate thesis, Sriwijaya University.

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Abstract

Malicious Software or better known as Malware is software that can enter and attack an operating system which can cause damage to the operating system. Malware itself consists of many types, there are several types of Malware that are commonly known by the general public, for example there are Trojan Malware, Ransomware Malware, Spyware Malware, Adware Malware, Worms and there are many other types. In this study, the type of malware used is Ransomware. This ransomware malware can attack various operating systems, such as Android. Android itself is one of the many operating systems available on mobile devices that are open source and have many complete features. Because Android is an operating system that is open source, many vendors and various brands of cellular phones choose to use this operating system. To detect this ransomware malware, the author uses Machine Learning where in this study the method used is the Random Forest algorithm which produces an accuracy of 91.75%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Malware, Ransomware, Deteksi, Android, Random Forest, Machine Learning.
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 5546 not found.
Date Deposited:	19 Oct 2021 07:19
Last Modified:	19 Oct 2021 07:19
URI:	http://repository.unsri.ac.id/id/eprint/56063

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